{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WT/Z/Qmz3WKr5V7s2LiFDCGEPFouFbiEhjEpNJcxq5WEbryNrNESBrlwxOn6m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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1200640a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "data = [0.37  , 0.37  , 0.55,\n",
    "        0.37  , 0.43  , 0.77,\n",
    "        0.46  , 0.75  , 0.87,\n",
    "        0.52  , 0.94  , 0.95,\n",
    "        0.60  , 0.95  , 0.97,\n",
    "        0.73  , 0.97  , 0.99]\n",
    "\n",
    "data = np.array(data).reshape(6,-1)\n",
    "\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "plt.plot(range(1,7),data[:,::-1],'o-')\n",
    "plt.ylabel(\"Accuracy\")\n",
    "plt.xlabel(\"# Cameras\")\n",
    "plt.legend(['Cloud', 'Local', 'Individual'], loc=\"best\")\n",
    "plt.savefig(\"_figures/increasing.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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a139uZjvMrMDMLqvuewW+9DaPmjRuUu0bLiIiIhHFRdAws6HAFGA8cDzwKbDAzNpFuP56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\nD8D1yshw40eNctu3b3fij+3bt7vxo0a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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f11ff161810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "data = [0.37  ,  0.92 , 0.98,\n",
    "        0.37  ,  0.94 , 0.98,\n",
    "        0.46  ,  0.97 , 0.98,\n",
    "        0.52  ,  0.95 , 0.97,\n",
    "        0.60  ,  0.96 , 0.96,\n",
    "        0.73  ,  0.94 , 0.95]\n",
    "\n",
    "data = np.array(data).reshape(6,-1)\n",
    "\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "plt.plot(range(1,7),data[:,::-1],'o-')\n",
    "plt.ylabel(\"Accuracy\")\n",
    "plt.xlabel(\"Missing Camera\")\n",
    "plt.legend(['Cloud', 'Local', 'Individual'], loc=\"best\")\n",
    "plt.savefig(\"_figures/fault.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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McfVY1EaqtCVRcYbaz3U3XafX3XxdVPvevHmz9urXVzP98xhltq6vvfr1rXIe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\npZRSSinlYZpwKaWUUkp52P8DYeOI/vh0kmMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f11ffc9d1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy vs communication\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "comm = np.array([32,\n",
    "#                 64,\n",
    "                96,\n",
    "                32,\n",
    "                64,\n",
    "                92,\n",
    "                30,\n",
    "                62,\n",
    "                88,\n",
    "                29,\n",
    "                59,\n",
    "                78,\n",
    "                23,\n",
    "                53,\n",
    "                58,\n",
    "                19,\n",
    "                35,\n",
    "                45,\n",
    "                15,\n",
    "#                 20,\n",
    "                22,\n",
    "#                 12\n",
    "#                 12,\n",
    "#                 12\n",
    "                ])\n",
    "\n",
    "acc = np.array([0.92 , 0.94  , 0.94,\n",
    "# 0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.94  , 0.94,\n",
    "0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.94  , 0.94,\n",
    "0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.95  , 0.95,\n",
    "0.92 , 0.94  , 0.95,\n",
    "0.92 , 0.95  , 0.96,\n",
    "0.92 , 0.95  , 0.96,\n",
    "0.92 , 0.94  , 0.96,\n",
    "0.92 , 0.95  , 0.96,\n",
    "0.92 , 0.95  , 0.96,\n",
    "0.92 , 0.94  , 0.96,\n",
    "0.92 , 0.95  , 0.97,\n",
    "0.92 , 0.95  , 0.98,\n",
    "0.92 , 0.94  , 0.95,\n",
    "# 0.92 , 0.95  , 0.93,\n",
    "0.92 , 0.95  , 0.97,\n",
    "# 0.92 , 0.94  , 0.92\n",
    "# 0.92 , 0.95  , 0.92,\n",
    "# 0.92 , 0.95  , 0.92\n",
    "               ])\n",
    "\n",
    "mem = np.array([859 ,\n",
    "#                 1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "                1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "                1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "                1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "                1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "                1654,\n",
    "                2449,\n",
    "                859 ,\n",
    "#                 1654,\n",
    "                2449,\n",
    "#                 859 \n",
    "#                 1654,\n",
    "#                 2449\n",
    "               ])\n",
    "\n",
    "\n",
    "idx = np.argsort(comm)\n",
    "\n",
    "acc = np.array(acc).reshape(19,-1)\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "ax1.plot(comm[idx],acc[idx,::-1],'o-')\n",
    "ax1.set_ylim([0.8,1])\n",
    "ax1.set_ylabel(\"Accuracy\")\n",
    "ax1.set_xlabel(\"Communication\")\n",
    "ax1.legend(['Overall', 'Cloud', 'Local'], loc=4)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.set_ylim([800,4000])\n",
    "ax2.plot(comm[idx], mem[idx],'*--c')\n",
    "ax2.set_ylabel('Memory', color='c')\n",
    "\n",
    "fig.savefig(\"_figures/commvsacc.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kGp0zLUMmjEx1B9oA66qVrwMOqmOfJcClZvaUu79pZkcC3wOy4+2tA94nGNl6B+gM/Ah4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\nREQkBf8LxLBEO2Y5hpQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f11ffad7990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy vs communication\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "size = [859 , \n",
    "        1654, \n",
    "        2449]\n",
    "\n",
    "acc = [ 0.92 ,0.94  , 0.96,\n",
    "        0.92 ,0.95  , 0.97,\n",
    "        0.92 ,0.95  , 0.98]\n",
    "\n",
    "exit = [19,\n",
    "        35,\n",
    "        45]\n",
    "\n",
    "acc = np.array(acc).reshape(3,-1)\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "# plt.figure(figsize=(10,10))\n",
    "ax1.plot(size,acc[:,::-1],'o-')\n",
    "ax1.set_ylim([0.8,1])\n",
    "ax1.set_ylabel(\"Accuracy\")\n",
    "ax1.set_xlabel(\"End Device Memory\")\n",
    "ax1.legend(['Overall', 'Cloud', 'Local'], loc=4)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.set_ylim([0,120])\n",
    "ax2.plot(size,exit,'*--c')\n",
    "ax2.set_ylabel('Communication', color='c')\n",
    "\n",
    "fig.savefig(\"_figures/sizevsacc.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HK/zyT6v5smg1n4iINBf5XuGX5NV8lk6/AdSp4fFUqt7P+NGDjkVERJqhm2+G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\nCSISERVTIiIZqHXn3tWrGfDKK7xbURF1c0QkArq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wjaA6PjThuQeA5xvMX0fQTZv4eD/q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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f11ff141990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy vs communication\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "size = [0.1,\n",
    "        0.3,\n",
    "        0.5,\n",
    "        0.6,\n",
    "        0.7,\n",
    "        0.8,\n",
    "        0.9,\n",
    "        1.0]\n",
    "\n",
    "exit = [0.00,\n",
    "        0.58,\n",
    "        1.75,\n",
    "        2.92,\n",
    "        22.81,\n",
    "        60.82,\n",
    "        83.04,\n",
    "        100.00]\n",
    "        \n",
    "acc = [ 0.96,\n",
    "        0.96,\n",
    "        0.96,\n",
    "        0.96,\n",
    "        0.96,\n",
    "        0.97,\n",
    "        0.96,\n",
    "        0.92 ]\n",
    "acc = np.array(acc).reshape(8,-1)\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "ax1.plot(size,acc[:,::-1],'o-')\n",
    "ax1.set_ylim([0.8,1])\n",
    "ax1.set_ylabel(\"Accuracy\")\n",
    "ax1.set_xlabel(\"Threshold\")\n",
    "ax1.legend(['Overall', 'Cloud', 'Local'], loc=\"best\")\n",
    "ax1.grid(True)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.set_ylim([0,200])\n",
    "ax2.plot(size,exit,'*--c')\n",
    "ax2.set_ylabel('% Locally Exited', color='c')\n",
    "\n",
    "fig.savefig(\"_figures/thresholdvsacc.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NJCIiInmz997w1FMwfDj85CeFN02/mhURERGhTRv4zW/gjjvgnnvgmGNg5cq4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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f120016ed50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "ax1.plot(exit,acc[:,::-1],'o-')\n",
    "ax1.set_ylim([0.8,1])\n",
    "ax1.set_ylabel(\"Accuracy\")\n",
    "ax1.set_xlabel(\"% Locally Exited\")\n",
    "ax1.legend(['Overall', 'Cloud', 'Local'], loc=\"best\")\n",
    "ax1.grid(True)\n",
    "\n",
    "# ax2 = ax1.twinx()\n",
    "# ax2.set_ylim([0,200])\n",
    "# ax2.plot(size,exit,'*--c')\n",
    "# ax2.set_ylabel('% Locally Exited', color='c')\n",
    "\n",
    "fig.savefig(\"_figures/exitvsacc.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
